000			02124nam a2200265 a 4500
001			vtls000045960
003			KUKTEM
005			20251114204504.0
008			100603t2009 my dao f m 000 0 eng d
020			_aTHE0005915(Local)
039		9	_a201905141430 _baida _c201107132323 _dVLOAD _c201102280938 _dFida _y201006031204 _zFida
040			_aUMP
090			_aTA479.C37 F35 2009 rs Bc.
100	0		_aFakhrur Razi Bahrin
245	1	0	_aPrediction of surface roughness in turning operation of low carbon steel AISI 1018 / _cFakhrur Razi Bin Bahrin
246	3		_aPrediction of surface roughness in turning operation of low carbon steel AISI 1018 _h[electronic resource]
260			_aKuantan, Pahang : _bUMP , _c2009
300			_axviii, 51 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009
504			_aBibliography : p. 42- 44
520	3		_aThe present thesis discusses the development of the first order and second order models for predicting the roughness in turning operation of low carbon steel AISI 1018 using CVD coated carbide tips. The first order and second order equation was developed using the Response Surface Method (RSM). The cutting variables were the cutting speed, feed rate and depth of cut. The study found that the predictive models able to predict the longitudinal component of the surface roughness close to those readings recorded experimentally with a 95% confident interval. The two equations indicate that the feed rate was the most dominant cutting condition on the surface roughness, followed by the depth of cut and then by the cutting speed. The surface roughness increases with increasing the feed rate and depths of cut but decreases with increasing cutting speed. In addition, the second order model proves the existence of a very strong interaction of the feed rate with depth of cut.
650		0	_aCarbon steel
650		0	_aSurface roughness
999			_aVIRTUA40 _c2901 _d2907
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992